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# Sr Machine Learning Engineer

- **Company:** The Walt Disney Company
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Salary:** $141,900.0 - $190,300.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Amazon DynamoDB, Machine Learning, Memcached, Redis, Software Engineering, Data Streaming, Pytorch, Retrieval-Augmented Generation, Large Language Models, Spring-boot, Caching, Spark Mllib, Scikit Learn, Kubernetes, Information Technology, Apache Kafka, Non-relational Database, Terraform, Docker, Microservices
- **Published:** July 30, 2026
- **Apply:** https://www.juju.com/job/00000000gkndst

## About the Role

As a Senior Machine Learning Engineer of our team, you will apply your knowledge and skills to help us deliver scalable, performant, maintainable, and testable software and apply ML solutions where needed.

Daily, you should bring:

 + A willingness and desire to effectively communicate and collaborate across teams and systems.

 + An understanding of the importance of project ownership.

 + A passion for mentoring, learning, and adapting to a very dynamic and fast-paced environment.

 + An understanding of micro-service encapsulation and loose coupling, and why they are important.

 + An understanding of ML models and knowledge of how to leverage their use online and offline.

 + An understanding of how to define technical and operational metrics to measure system health and to manage risk.

 + Kindness and pragmatic optimism., + BS or MS in Computer Science / Engineering or relevant work experience.

 + 5+ years of software engineering, specifically ML experience.

 + Proficiency with Java

 + Proficient in large scale ML/DL platforms and processing tech stack.

 + Experience in large scale machine learning using tools such as scikit-learn, Spark MLLib, pytorch

 + Experience with LLM-based application development, using LLM-as-a-service providers such as AWS Bedrock, Azure Cognitive Services, or Google's Vertex AI

 + Experience using frameworks such as LangGraph, Crew AI, and strands sdk for developing agents

 + Experience with vector databases and retrieval-augmented generation

 + Demonstrable analytical / problem-solving skills. Strong knowledge of and experience implementing AI/ML technologies and applying mathematical and statistical concepts.

 + Great communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences.

Preferred Qualifications:

Experience with:

 + SpringBoot and related Spring projects.

 + Non-relational database technologies like DynamoDB.

 + Caching datastores such as Redis, ValKey or MemCache.

 + Data Streaming Mechanisms such as Apache Kafka and/or Kinesis.

 + Cloud platforms such as AWS.

 + Modern DevOps tools such as Terraform, Docker, and Kubernetes.

 + Domain knowledge in the Ad Tech industry.

## Description

+ Designing, implementing, and testing logic to serve ads effectively adhering to various business criteria either with rule based or ML based solutions in a high-throughput, low-latency microservices environment.

 + Enhancing systems' observability with proper metrics, monitors, and alerts.


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